Triple

T14881564
Position Surface form Disambiguated ID Type / Status
Subject Three Sisters Islands E350010 entity
Predicate locatedOn P40 FINISHED
Object upper Niagara River E58010 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: upper Niagara River | Statement: [Three Sisters Islands, locatedOn, upper Niagara River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: upper Niagara River
Context triple: [Three Sisters Islands, locatedOn, upper Niagara River]
  • A. Niagara River chosen
    The Niagara River is a short but powerful river in North America that flows from Lake Erie to Lake Ontario and is renowned for forming the famous Niagara Falls along the U.S.–Canada border.
  • B. Niagara
    Niagara is a cold-hardy, labrusca-based white grape variety widely grown in the eastern United States, known for its distinctive “foxy” aroma and use in sweet and table wines.
  • C. Niagara
    Niagara is a regional municipality in southern Ontario, Canada, known for encompassing the famous Niagara Falls and surrounding communities.
  • D. Niagara
    Niagara is a 1953 film noir thriller starring Marilyn Monroe, noted for its dramatic use of the Niagara Falls setting and Monroe’s breakout femme fatale performance.
  • E. Niagara
    Niagara is a small rural city located in Grand Forks County in the U.S. state of North Dakota.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5a421e88190a7cd359209ae2818 completed May 9, 2026, 3:10 a.m.
Created at: April 10, 2026, 1:56 a.m.